Institute of Chemistry, University of Tartu, Tartu, Estonia.
Methods Mol Biol. 2021;2268:119-136. doi: 10.1007/978-1-0716-1221-7_8.
During the past decade, fluorescence methods have become valuable tools for characterizing ligand binding to G protein-coupled receptors (GPCRs). However, only a few of the assays enable studying wild-type receptors and monitor the ligand binding in real time. One of the approaches that is inherently suitable for this purpose is the fluorescence anisotropy (FA) assay. In the FA assay, the change of ligand's rotational freedom connected with its binding to the receptor can be monitored with a conventional fluorescence plate reader equipped with suitable optical filters. To achieve the high receptor concentration required for the assay and the low autofluorescence levels essential for reliable results, budded baculoviruses that display GPCRs on their surfaces can be used. The monitoring process generates a substantial amount of kinetic data, which is usually stored as a proprietary file format limiting the flexibility of data analysis. To solve this problem, we propose the use of the data curation software Aparecium ( http://gpcr.ut.ee/aparecium.html ), which integrates experimental data with metadata in a Minimum Information for Data Analysis in Systems Biology (MIDAS) format. Aparecium enables data export to different software packages for fitting to suitable kinetic or equilibrium models. A combination of the FA assay with the novel data analysis strategy is suitable for screening new active compounds, but also for modeling complex systems of ligand binding to GPCRs. We present the proposed approach using different fluorescent probes and assay types to characterize ligand binding to melanocortin 4 (MC) receptor.
在过去的十年中,荧光方法已成为研究配体与 G 蛋白偶联受体(GPCR)结合的重要工具。然而,只有少数测定方法能够研究野生型受体并实时监测配体结合。其中一种固有适用于此目的方法是荧光各向异性(FA)测定法。在 FA 测定法中,可以使用配备适当滤光片的常规荧光板读数器监测与受体结合时配体旋转自由度的变化。为了达到测定所需的高受体浓度和获得可靠结果所必需的低自发荧光水平,可以使用在表面展示 GPCR 的出芽杆状病毒。监测过程会产生大量的动力学数据,这些数据通常以专有的文件格式存储,限制了数据分析的灵活性。为了解决这个问题,我们建议使用数据管理软件 Aparecium(http://gpcr.ut.ee/aparecium.html),该软件将实验数据与元数据集成到最小化信息用于系统生物学数据分析(MIDAS)格式中。Aparecium 可以将数据导出到不同的软件包中,以适合合适的动力学或平衡模型进行拟合。将 FA 测定法与新型数据分析策略相结合,既适合筛选新的活性化合物,也适合模拟配体与 GPCR 结合的复杂系统。我们使用不同的荧光探针和测定类型来呈现所提出的方法,以表征黑色素皮质素 4(MC)受体的配体结合。